Nathanael Fillmore

According to our database, Nathanael Fillmore authored at least 21 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes.

Eric Lin, Robert Zwolinski, Julie Tsu-Yu Wu, Jennifer La, Sergey Goryachev, Linden B. Huhmann, Cenk Yildirim, David P. Tuck, Danne C. Elbers, Mary T. Brophy, Nhan V. Do, Nathanael R. Fillmore

Health Informatics J., July, 2023

Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE).

Danne C. Elbers, Nathanael R. Fillmore, Jennifer La, Hannah M. Tosi, Samuel Ajjarapu, Rupali Dhond, Karen E. Murray, Danielle Valley, Colleen Shannon, Mary T. Brophy, Nhan V. Do

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow.

Nhan V. Do, Danne C. Elbers, Nathanael R. Fillmore, Samuel Ajjarapu, Steven J. Bergstrom, John Bihn, June K. Corrigan, Rupali Dhond, Svitlana Dipietro, Arkadiy Dolgin, Theodore C. Feldman, Sergey D. Goryachev, Linden B. Huhmann, Jennifer La, Paul A. Marcantonio, Kyle M. McGrath, Stephen J. Miller, Vinh Q. Nguyen, George R. Schneeloch, Feng-Chi Sung, Kaitlin N. Swinnerton, Amelia H. Tarren, Hannah M. Tosi, Danielle Valley, Austin D. Vo, Cenk Yildirim, Chunlei Zheng, Robert Zwolinski, Gisele A. Sarosy, David Loose, Colleen Shannon, Mary T. Brophy

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots.

Matthew Clark, Christopher Meyer, Jaime Ramos-Cejudo, Danne C. Elbers, Karen E. Pierce-Murray, Rafael Fricks, Gil Alterovitz, Luigi Rao, Mary T. Brophy, Nhan V. Do, Robert L. Grossman, Nathanael R. Fillmore

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022

Better PROSPECT for cancer care: Supporting the generation and delivery of knowledge for decision making at tumor boards with the Precision Oncology System for Prediction, Engineering, and Clinical Translation (PROSPECT).

Austin D. Vo, Danne C. Elbers, Theodore C. Feldman, Paul A. Marcantonio, Anahit Aleksanyan, Nhan Vo, Feng-Chi Sung, Svitlana Dipietro, Arkadiy Dolgin, Rupali Dhond, Mary Brophy, Nathanael Fillmore, David Kaplan, Nhan V. Do

Proceedings of the AMIA 2022, 2022

Phenotyping Hepatic Immune-Related Adverse Events After Immune Checkpoint Inhibitor Therapy.

Theodore C. Feldman, Nathanael Fillmore, Nhan V. Do, Mary Brophy, David Kaplan, Albert Lin

Proceedings of the AMIA 2022, 2022

2021

Corrigendum to: An Application to Support COVID-19 Occupational Health and Patient Tracking at a Veterans Affairs Medical Center.

Nathanael R. Fillmore, Danne C. Elbers, Jennifer La, Theodore C. Feldman, Sung Feng-Chi, Robert B. Hall, Vinh Q. Nguyen, Nicholas B. Link, Robert Zwolinski, Svitlana Dipietro, Stephen J. Miller, Anahit Aleksanyan, Sergey Goryachev, Paul Corcoran, Steven J. Bergstrom, Michael A. Parenteau, Robert S. Sprague, David J. Thornton, Jane A. Driver, Judith M. Strymish, Stewart Evans, Benjamin Colonna, Mary T. Brophy, Nhan V. Do

J. Am. Medical Informatics Assoc., 2021

2020

The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database.

Danne C. Elbers, Nathanael R. Fillmore, Sung Feng-Chi, Spyridon S. Ganas, Alexander M. Prokhorenkov, Christopher Meyer, Robert B. Hall, Samuel Ajjarapu, Daniel C. Chen, Frank Meng, Robert L. Grossman, Mary T. Brophy, Nhan V. Do

Patterns, 2020

An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center.

Nathanael R. Fillmore, Danne C. Elbers, Jennifer La, Theodore C. Feldman, Sung Feng-Chi, Robert B. Hall, Vinh Q. Nguyen, Nicholas B. Link, Robert Zwolinski, Svitlana Dipietro, Steven J. Miller, Anahit Aleksanyan, Sergey Goryachev, Paul Corcoran, Steven J. Bergstrom, Michael A. Parenteau, Robert S. Sprague, David J. Thornton, Jane A. Driver, Judith M. Strymish, Stewart Evans, Benjamin Colonna, Mary T. Brophy, Nhan V. Do

J. Am. Medical Informatics Assoc., 2020

Veterans Health Administration (VHA) and National Cancer Institute (NCI) Interagency Preliminary Computable Phenotypes for the VA-NCI Interagency Clinical Trial Optimizer for Recruitment and Enrollment (VICTOR-E).

Theodore C. Feldman, Nathanael Fillmore, Sandy Chon, Shahin Assefnia, David Loose, Gisele A. Sarosy, Jennifer La, David Cheng, Frank Meng, Danielle Valley, Robert B. Hall, Paul Corcoran, Robert Zwolinski, Danne C. Elbers, Mary T. Brophy, Nhan V. Do

Proceedings of the AMIA 2020, 2020

Building a Clinical Data Repository for Lumbar Spinal Stenosis in the Veterans Health Administration.

Rupali Dhond, Paul Corcoran, Sarah Leatherman, Oleg Soloviev, Nathanael R. Fillmore, David Cheng, Frank Meng, Ryan E. Ferguson, Mary T. Brophy, Nhan V. Do

Proceedings of the AMIA 2020, 2020

2019

Interactive Machine Learning for Laboratory Data Integration.

Nathanael Fillmore, Nhan V. Do, Mary Brophy, Andrew J. Zimolzak

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.

Nhan V. Do, Jaime C. Ramos, Nathanael R. Fillmore, Robert L. Grossman, Michael Fitzsimons, Danne C. Elbers, Frank Meng, Brett R. Johnson, Samuel Ajjarapu, Corri L. DeDomenico, Karen E. Pierce-Murray, Robert B. Hall, Andrew F. Do, Kelly Gaynor, Peter L. Elkin, Mary T. Brophy

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Hypersphere clustering to characterize healthcare providers using prescriptions and procedures from Medicare claims data.

Nathanael Fillmore, Sergey Goryachev, Jeremy C. Weiss

Proceedings of the AMIA 2019, 2019

2018

Bicluster phenotyping of healthcare providers, procedures, and prescriptions at scale with deep learning.

Nathanael Fillmore, Ansh Mehta, Jeremy C. Weiss

Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018

The Implementation of the Precision Oncology Data Repository in the Veterans Affairs Healthcare System.

Danne C. Elbers, Frank Meng, Scott Doyle, Sylvester Sakilay, Sung Feng-Chi, Brett R. Johnson, Robert B. Hall, Nathanael Fillmore, Daniel Chen, Alexander D. Diehl, Samuel Ajjarapu, Karen E. Pierce-Murray, Corri DeDomenico, Colleen Shannon, Sara Schiller, Nhan V. Do, Peter L. Elkin, Louis D. Fiore, Mary T. Brophy

Proceedings of the AMIA 2018, 2018

Development of an AI empowered Electronic Molecular Tumor Board Application Connected Utilizing the SMART on FHIR Framework.

Nhan V. Do, J. J. Bono, Nathanael Fillmore, Andrew J. Zimolzak, Brett R. Johnson, Frank Meng, Danne C. Elbers, Robert B. Hall, Samuel Ajjarapu, Mary T. Brophy, Peter L. Elkin

Proceedings of the AMIA 2018, 2018

2017

The Development of the Research Precision Oncology Program Data Repository (PODR) in the Veterans Affairs Healthcare System.

Nhan V. Do, Karen E. Pierce-Murray, Edmund C. Peirce, Corri DeDomenico, Frank Meng, Danne C. Elbers, Beth Katcher, Robert B. Hall, Andrew J. Zimolzak, Samuel Ajjarapu, Colleen Shannon, Sara Turek, Brett R. Johnson, Nathanael Fillmore, Mary Brophy, Louis D. Fiore

Proceedings of the AMIA 2017, 2017

2011

Learning from Spatial Overlap.

Michael H. Coen, M. Hidayath Ansari, Nathanael Fillmore

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Comparing Clusterings in Space.

Michael H. Coen, M. Hidayath Ansari, Nathanael Fillmore

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

May All Your Wishes Come True: A Study of Wishes and How to Recognize Them.

Andrew B. Goldberg, Nathanael Fillmore, David Andrzejewski, Zhiting Xu, Bryan R. Gibson, Xiaojin Zhu

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009